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20172026
most citedThe Solution Distribution of Influence Maximization: A High-level Experimental Study on Three Algorithmic Approaches

14 citations · 59 across the 21 of their papers we have counts for

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cs.DS2024

Tight Inapproximability of Target Set Reconfiguration

Naoto Ohsaka

Given a graph with a vertex threshold function , consider a dynamic process in which any inactive vertex becomes activated whenever at least of its neighbors have…

cs.DS2022★ 5 cited

On the Parameterized Intractability of Determinant Maximization

Naoto Ohsaka

In the Determinant Maximization problem, given an positive semi-definite matrix in and an integer , we are required to find a $k\ti…

cs.DS2021★ 5 cited

Reconfiguration Problems on Submodular Functions

Naoto Ohsaka, Tatsuya Matsuoka

Reconfiguration problems require finding a step-by-step transformation between a pair of feasible solutions for a particular problem. The primary concern in Theoretical Computer Sc…

cs.DS2021★ 3 cited

Some Inapproximability Results of MAP Inference and Exponentiated Determinantal Point Processes

Naoto Ohsaka

We study the computational complexity of two hard problems on determinantal point processes (DPPs). One is maximum a posteriori (MAP) inference, i.e., to find a principal submatrix…

cs.DS2021

On Reconfigurability of Target Sets

Naoto Ohsaka

We study the problem of deciding reconfigurability of target sets of a graph. Given a graph with vertex thresholds , consider a dynamic process in which vertex becomes a…

cs.DS2021

A Fully Polynomial Parameterized Algorithm for Counting the Number of Reachable Vertices in a Digraph

Naoto Ohsaka

We consider the problem of counting the number of vertices reachable from each vertex in a digraph , which is equal to computing all the out-degrees of the transitive closure of…

cs.DS2017★ 3 cited

On the Power of Tree-Depth for Fully Polynomial FPT Algorithms

Yoichi Iwata, Tomoaki Ogasawara, Naoto Ohsaka

There are many classical problems in P whose time complexities have not been improved over the past decades. Recent studies of "Hardness in P" have revealed that, for several of su…